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Auteur Bishen Yang |
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Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds / Bishen Yang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
[article]
Titre : Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds Type de document : Article/Communication Auteurs : Bishen Yang, Auteur ; Lina Fang, Auteur ; Jonathan Li, Auteur Année de publication : 2013 Article en page(s) : pp 80 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] délimitation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction du réseau routier
[Termes IGN] extraction semi-automatique
[Termes IGN] reconstruction 3D
[Termes IGN] route
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobileRésumé : (Auteur) Accurate 3D road information is important for applications such as road maintenance and virtual 3D modeling. Mobile laser scanning (MLS) is an efficient technique for capturing dense point clouds that can be used to construct detailed road models for large areas. This paper presents a method for extracting and delineating roads from large-scale MLS point clouds. The proposed method partitions MLS point clouds into a set of consecutive “scanning lines”, which each consists of a road cross section. A moving window operator is used to filter out non-ground points line by line, and curb points are detected based on curb patterns. The detected curb points are tracked and refined so that they are both globally consistent and locally similar. To evaluate the validity of the proposed method, experiments were conducted using two types of street-scene point clouds captured by Optech’s Lynx Mobile Mapper System. The completeness, correctness, and quality of the extracted roads are over 94.42%, 91.13%, and 91.3%, respectively, which proves the proposed method is a promising solution for extracting 3D roads from MLS point clouds. Numéro de notice : A2013-234 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.016 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32372
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